Manchmal ist nicht die Maschine das Problem — sondern wir | DE

Dieses Essay ist für all die Momente, in denen wir Macht erschaffen…

aber Verantwortung loslassen.

Inspiriert von Frankenstein — ein persönlicher Text über Angst, Hoffnung, KI

und die Frage, was das „Monster“ in Wahrheit über uns erzählt.

KI und der moderne Frankenstein — eine Frage an uns selbst

In den letzten Monaten höre ich immer öfter die Frage:

Ist KI unser moderner Frankenstein?

Je länger ich darüber nachdenke, desto klarer wird mir:

Diese Frage richtet sich weniger an die Maschine… als an uns.


Das Geschöpf, das kein Monster sein wollte

In Mary Shelleys Roman ist die Kreatur nicht kalt und bösartig. Sie will verstehen, dazugehören, gesehen werden.

Erst die Ablehnung macht sie zum „Monster“.

Wenn wir heute über KI sprechen, verwechseln wir oft zwei Ebenen:

  • was Technologie ist,
  • und was wir in sie hineinprojizieren.

KI ist nicht moralisch. Sie hat keine Absicht.

Das Gefährliche entsteht dort, wo wir sie einsetzen – in Machtstrukturen, Interessen, Gier, Angst.

Das Monster lebt nicht in der Maschine.

Es entsteht in den Systemen, die wir um sie herum bauen.


Frankensteins eigentlicher Fehler

Victor Frankenstein scheitert nicht daran, dass er erschafft. Er scheitert daran, dass er davonläuft.

Er lässt sein Geschöpf allein – ohne Begleitung, Verantwortung, Beziehung.

Und genau hier berührt uns die Gegenwart.

Die Frage lautet nicht: „Wird KI gefährlich?“ Sondern: Wer begleitet sie?

Mit welchem Bewusstsein, welcher Verantwortung, welchem Maß?

Die Gefahr beginnt dort, wo wir skalieren – ohne Grenzen, ohne Einbettung, ohne Haltung.


Warum wir gerade jetzt Monster sehen

Menschen erschaffen Monster, wenn sie Angst haben.

Unsere Zeit ist voller Brüche: Unsicherheit, Beschleunigung, Kontrollverlust.

In solchen Momenten wird Technologie zum Spiegel:

  • unserer Überforderung,
  • unserer ungelösten Fragen,
  • unserer Machtfantasien – und unserer Ängste.

Für manche ist KI Hoffnung. Für andere Bedrohung.

Aber der Kern bleibt:

Verantwortung bleibt menschlich.


Die moderne Kreatur ist ein Kollektivwesen

Shelleys Kreatur hatte einen Schöpfer.

KI hat Millionen:

  • Daten
  • Entscheidungen
  • Interessen
  • Narrative
  • Machtlogiken

Es gibt keinen einzelnen „Frankenstein“. Es gibt ein Geflecht von Verantwortung. Wenn irgendwo ein Monster entsteht, dann systemisch.


Das eigentliche Risiko liegt nicht in der KI

Die Kreatur im Roman wollte nur eines: einen Platz in der Welt.

Als ihr dieser verweigert wird, beginnt die Tragödie.

Heute riskieren wir Ähnliches, wenn wir:

  • regulieren aus Angst statt aus Klarheit,
  • Technologie Märkten überlassen,
  • Verantwortung zerstreuen,
  • Führung vermeiden.

Die Gefahr entsteht nicht im Code.

Sie entsteht dort, wo Macht ohne Verantwortung agiert.


Zwischen West und Ost — ein persönlicher Blick

Ich lebe zwischen Europa und Thailand, zwischen zwei kulturellen Welten.

Im Westen sprechen wir über Regeln, Risiko, Kontrolle.

In Thailand begegnet man stärker der Frage:

Wie lebt man mit Kräften, die größer sind als man selbst — verantwortungsvoll, achtsam, eingebettet?

Vielleicht braucht die KI-Debatte beides:

  • Ethik und Struktur —
  • aber auch Haltung, Beziehung, Weisheit.

Und wer ist nun das Monster?

Wenn wir Frankenstein als moralischen Spiegel lesen, bleibt eine Wahrheit:

Das Monster ist nicht das Geschöpf.

Das Monster ist die Flucht vor Verantwortung.

Die Maschine wird nicht menschlicher.

Wir müssen es werden.


Schlussgedanke

Ein Werkzeug ist nur so gefährlich wie die Welt, in der es entsteht.

Welche Zukunft wir KI — und uns selbst — ermöglichen, entscheidet sich nicht im Algorithmus.

Sondern in unseren Händen.


© 2025 Robert F. Tjón, December 2025

Creative Commons CC BY-NC-ND 4.0 International

Erweiterte Version auf Substack 👇

https://substack.com/@rftjon/note/p-183035707?r=35vtu2&utm_medium=ios&utm_source=notes-share-action

Janszky’s Future Picture: A critical View

A Critical Reading of the Jánszky Interview “Who Shapes Our Future – and Who Profits From It?”

Based on the interview between Philip Hopf (HKCM) and futurist Sven Gábor Jánszky, YouTube, November 9, 2025


This text draws on a long-form interview between Philip Hopf (HKCM) and Sven Gábor Jánszky, one of the most visible futurists in the German-speaking world.

Below, I briefly summarise some of Jánszky’s core theses – and comment on them with a particular focus on power, responsibility, technological dynamics, and human dignity.


1. The method: “Follow the strategists”

Jánszky is very clear that his work is not science fiction and not about spinning visionary stories. He frames futures research as an analytical discipline. In simplified form, his core approach is:

  • Anyone who wants to understand the next 5–10 years must observe the strategists of large, resource-rich corporations – especially
    • chiefs of strategy
    • chiefs of technology
    • chiefs of innovation.
  • The future emerges where capital, technology, and market power converge.
  • These actors decide which technological possibilities are actually pushed into markets – and therefore into society.

Strength of this approach:

It is intellectually honest about where power sits. For investors, corporates, and supervisory boards, this method offers a robust way to map technological trends and anticipate sector shifts.

Blind spot of this approach:

It begins from the perspective of the powerful and tends to describe the future as an extension of existing power structures.

  • Democratic counter-movements
  • Regulators
  • Cultural ruptures
  • Crises and ecological limits

…appear primarily as frictions – not as independent forces of shaping. Yet that is exactly what they are.


2. AI with hands, wheels, and wings: Robots and AI agents

One of the central images in the interview is that of artificial intelligence gaining:

  • Hands – humanoid robots in households, care, logistics, industry
  • Wheels – autonomous vehicles in urban traffic
  • Wings / rotors – drones, above all in military and logistics applications

Jánszky sketches a world in which there are more humanoid robots – and especially more AI agents – than human beings. A large share of communication and transactions would then take place between autonomous systems, rather than between humans.

As a direction of travel, this is plausible. Automation, autonomous systems, and agent ecosystems are clearly gaining momentum.

The timeline, however (“3–5 years until there are more robots than humans”), is less a solid forecast than a strong scenario – a thesis. It assumes:

  • stable global supply chains
  • massive demand
  • political acceptance
  • minimal regulatory friction

This leads to a central philosophical and institutional question:

If most economic processes are executed by machines – where, exactly, does space remain for human meaning, responsibility, beauty, contemplation, and personal dignity?


3. Living longer – or becoming “immortal”?

Jánszky speaks very pointedly about life extension and outlines five technological tracks:

  1. Low-cost genetic analysis (already here).
  2. Medical food – personalised nutrition that compensates individual deficits in the microbiome.
  3. Epigenetic therapies that aim to reverse biological ageing processes.
  4. Replacement organs printed in 3D from one’s own cells.
  5. Gene therapies with a 25–30 year horizon to mass market.

His conclusion:

  • Anyone who survives the next 10–15 years has a high probability of reaching around 100.
  • Anyone who survives the next 25–30 years could reach 120–150.

From this he derives a provocative claim:

“The first immortal human is already alive” – meaning today’s children, whose consciousness could, in principle, be transferred into digital systems one day.

Here, technology roadmaps and metaphysics start to overlap:

  • As a technological option, a highly personalised, life-extending medical mix is conceivable.
  • Whether a digital clone of our knowledge, style, and humour is really “us” remains an open philosophical question.

Already today it is foreseeable:

We can train systems that sound like a particular person, think in similar patterns, and reproduce familiar ways of speaking. Whether that constitutes identity or merely a useful representation will be one of the defining debates of the coming decades.


4. Transhumanism, brain–computer interfaces, and the last interior space

On the subject of transhumanism, Jánszky describes a world in which humans continue to optimise their bodies and ultimately link themselves with external AI systems – for example through brain–computer interfaces (BCIs) directly on or in the brain.

He reports on ongoing clinical tests with implants that can read brain activity and use it for communication. In the long term he expects markets for such interfaces:

  • initially for a small group of pioneers
  • later, perhaps, for broader segments of the population.

When confronted with the fear that thought-reading could destroy the last refuge of inner privacy, his answer is sober:

  • some people will volunteer for such systems to gain advantages
  • the real ethical problem begins where participation is forced.

For many, this is precisely where the core ethical questions start:

  • How much inner space does a human need so that conscience, dignity, and freedom do not erode?
  • What happens to creativity, dissent, and intimacy if even thoughts become potentially readable and exploitable?

From fundamental rights to data protection and constitutional law, this is not a sci-fi side topic – it is a coming constitutional question.


5. Investing in the future: quanta, fusion, genetics, food

Jánszky explains how his institute invests via its own funds: not in mature listed stocks, but about five years pre-IPO in technologies he expects to become foundational for entire industries.

He mentions in particular:

  • Quantum computing
  • Nuclear fusion
  • Genetics and longevity tech
  • Cryopreservation of tissue and organs
  • Synthetic food and bioreactors

For supervisory boards, executives, and strategic decision-makers this perspective is interesting in at least two ways:

  • It provides a clear innovation radar: where tomorrow’s platform technologies are emerging.
  • It does not provide a societal or regulatory compass: questions of distribution, risk, climate, labour, and social impact remain methodologically bracketed out.

6. Optimism, the short present, and the role of the past

In closing, Jánszky positions himself explicitly as an optimist. He argues:

  • The possibilities of the future weigh more heavily than experiences of the past.
  • It is dangerous to base today’s decisions solely on what has worked so far.
  • The “present” is extremely short; what really matters are plausible projections of what comes next.

For investment and technology development, this is understandable:

  • Those who only look backward miss structural breaks.

At the same time, there is risk:

Societies do not live only from future options, but also from:

  • memory
  • continuity
  • and a shared practice of dealing with vulnerability and finiteness.

Especially in Western Europe – with its historical ruptures, strong rule-of-law traditions, and dense welfare states – it will be crucial to hold together two perspectives:

  • the sober look at what is technologically and economically probable, and
  • the stubborn insistence on values, human dignity, democratic control, and solidarity-based structures.

7. Questions to the public sphere

From the interview, three guiding questions emerge that seem central for business, politics, and civil society in the German-speaking world (and beyond):

1. Power to shape

If strategic decision-makers in large tech and capital structures significantly shape the next 10 years:

Where is the remaining room for manoeuvre for parliaments, regulators, foundations, supervisory boards, and citizens?

2. Life extension vs. life depth

If it becomes realistic to live much longer and healthier:

How do we, as a society, define a “good life”?

Is it primarily a question of more years – or of more depth, relationship, and meaning in the years we already have?

3. Digital replicas of persons

As we move toward digital twins, cloned voices, avatars, and personalised agents:

How far do we want to go in creating digital replicas of people?

At what point does a helpful tool become a mask that merely simulates identity?

What protected spaces do grief, intimacy, and inner growth require?

These questions cannot be answered by futurists, investors, or engineers alone. They belong:

  • in parliaments and regulatory bodies,
  • in boards and editorial rooms,
  • in schools and universities,
  • and just as much around kitchen tables and in everyday conversations.

Synthesis

The Jánszky interview offers a powerful, technically informed narrative of the next decades: AI agents, robots, longevity, and transhuman interfaces are treated as probable developments, driven by strategists in large companies and reinforced by massive capital flows.

The critical reading proposed here does not deny these trajectories. Instead, it adds what the method brackets out: questions of who is allowed to shape the future, what happens to identity, privacy, and dignity, and how democratic societies can remain capable of action when the deep drivers of change sit in boardrooms, data centres, and venture funds.

The future, in this view, is neither purely dystopian nor automatically bright. It becomes a contested field in which technological probability and human values must be negotiated again and again – openly, and in public.


© 2025 Robert F. Tjón, December 2025

English transcript of the complete interview 👇

https://rftjon.substack.com/p/janszkys-future-picture?r=35vtu2

Source

Original German interview (HKCM / Philip Hopf, with Sven Gábor Jánszky, November 9, 2025):

Janszky’s Future Picture | How AI, Robotics, and Longevity could reshape the Next 50 Years

A scientific approach to what is (probably) coming, stripped of ideological lenses and moral judgments.

Based on the interview with Sven Gábor Jánszky and Philip Hopf (HKCM), YouTube, November 9, 2025

Original German interview: YouTube – HKCM / Philip Hopf

More on Sven Gábor Jánszky: janszky.de


In this conversation, Germany’s best-known futurist, Sven Gábor Jánszky, talks with Philip Hopf about some of the most charged questions of our time:

  • Who really shapes the future?
  • Which technologies will transform everything?
  • Why he says: “The first immortal human is already alive.”

Futurist Sven Gábor Jánszky outlines a technological roadmap for the next 50 years, emphasizing that corporate strategists, rather than politicians, primarily dictate our global trajectory. He predicts a society dominated by artificial intelligence and humanoid robots, suggesting that autonomous agents will soon outnumber the human population. The discussion highlights breakthroughs in longevity, where genetic engineering and organ printing could extend human lifespans to 150 years or even lead to digital immortality. Jánszky also explores transhumanism, envisioning a future where brain-computer interfaces and synthetic food production become standard. Despite concerns regarding surveillance and privacy, he maintains an optimistic outlook, viewing these disruptions as opportunities for increased human freedom and health. Overall, the source serves as an analytical forecast intended to help investors and leaders navigate a rapidly accelerating era of innovation.

The interview ranges across AI, robotics, longevity, transhumanism, the future of work, and the question of whether we are heading towards a dystopian control regime or towards a world with more freedom, health, and time.

Below is an edited, English version of the conversation, prepared for reading rather than listening. The content follows the original closely but has been lightly smoothed for clarity.


Opening

Philip Hopf:

Dear viewers, a few days ago I recorded a fantastic interview with Europe’s number-one futurist, Sven Gábor Jánszky. I came out of it – I still am – completely blown away by what he lays out and how he assesses the transformation of our societies over the next 3 to 8 years. Some of it is incredible, and some of it is – in my view – quite frightening.

Unfortunately, we had some technical issues during the recording, so the sound quality is not what I would have liked. I apologise for that. We’ll record another interview in future. But I still want to publish the content now so that you can all benefit from it. Enjoy.

Right now, artificial intelligence is taking over jobs while entire industries – especially the German automotive sector – are worrying about their future. China and the United States are fighting for technological dominance while Europe mostly watches from the sidelines. Between recession fears, the AI revolution, and geopolitical uncertainty, we are facing a central question:

What does our future really look like – and who will benefit from it?

To discuss this, I’m speaking with someone who, more than almost any other, spends his life looking ahead: Sven Gábor Jánszky, Germany’s most famous futurist and the author of several books about the world of tomorrow. He advises large corporates and politicians and, in his future studies, draws a clear – and sometimes uncomfortable – picture of where our societies and economies are headed.

Let’s dive in.


Who actually shapes the future?

Philip Hopf:

Welcome. My name is Philip Hopf. This is another HKCM interview – today with a very exciting guest: Sven Gábor Jánszky.

Mr. Jánszky, let me briefly introduce you to our viewers: You grew up in Budapest and East Germany and were already successful in GDR-era chess as a teenager. After the fall of the Wall you became a journalist and, at 23, the youngest news editor-in-chief of the ARD. Later, you left the public broadcasting system to connect with leading innovators around the world.

Today you are chairman of the largest German-language futures research institute and one of the most in-demand futurist speakers in Europe.

So here’s my first question to you:

In your view, who really determines our future – and who profits most from it?


Sven Gábor Jánszky:

The people who truly shape the long-term future – when we futurists say “future”, we usually mean the next 10 years – are mainly the strategists of the major market- and technology-driving companies in the world.

That means:

  • Chief strategy officers
  • Chief technology officers
  • Sometimes chief innovation officers

In short, the people whose decisions today have more impact on the future than the decisions of most other people – or, put differently: the people whom others follow.

And this can be analysed surprisingly well with scientific methods. You can study what they are doing, where they invest, and which directions they push.

Why? Because these are people you can actually talk to. You can interview them. If you pick a given industry – A, B, or C – and you speak with the right 20 people, you will learn from them what that industry will likely look like in 5–10 years.

So: first, it’s about technology leaders. Second, it’s about those working in large, resource-strong, financially powerful companies.


Science fiction vs. scientific futures research

Philip Hopf:

We all know those cult sci-fi films that look 20, 30, even 40 years into the future – and they very often miss the mark.

Take Back to the Future: I watched it several times as a kid. The film shows the year 2015 – with flying cars and hovering skateboards. When we look around today, we don’t see that in our streets. There are individual prototypes, sure, but nothing like a social norm.

As a futurist, how do you distinguish between developments that are genuinely likely and those that are pure wishful thinking – at least along a timeline?


Sven Gábor Jánszky:

That’s an important question. To be honest: I’m not a science-fiction fan. I don’t write future novels, I don’t see myself as a visionary artist. A futurist is, above all, an analyst.

We analyse what those strategy leaders I mentioned are doing today – and where this is likely to lead in the coming years.

There is a big difference between scientific futures research and science fiction:

  • Sci-fi authors also look at what will be technologically possible in 10–20 years.
  • Then they build a story around it – with drama, heroes, villains, and so on.

What we futurists do differently is:

We don’t just look at what could be technologically possible – we look at what parts of that technology will actually be implemented and commercialised.

That’s why we talk to strategy leaders in large companies. It is largely up to them whether something is pushed into markets and into everyday life or not.

Take flying cars and hoverboards. Of course they exist as prototypes. But large, global key players have, for now, decided not to push them into the mass market.

Why? Because they don’t currently see them as big mass markets – or at least not as the most profitable ones. It’s simply easier to make a lot more money with other technologies.

So futurism is not about fantasy. It is about:

“From all the things that will be technically feasible, what is actually going to be brought into the world?”

For this there are scientific methods. In my institute we employ PhDs in futures research. You can study this – in Singapore, the US, Europe, Copenhagen, Berlin, and other places. And if you’ve done that, there’s a good chance you might end up with us, because we are currently the largest scientific futures research institute in Europe.

Our methods are based on in-depth interviews:

  • We speak for about two hours with strategy, innovation, and technology executives.
  • We ask: What are you doing? Why? What do you think will result from this – for your company, for society?

If we do this with 20 people in an industry, we end up with 20 detailed “mini-prognoses”. Then we compare them, synthesise them – and finally send them back to all 20 participants. They then rate the other 19 predictions: “Likely / unlikely”.

The result is:

Nothing a serious futurist claims is “made up in their own head”. It all comes from the heads of those strategy, technology, and innovation leaders.

This is – in most cases – the best and most probable way to forecast the next 5–10 years.

Of course, we are not fortune tellers. Nobody is. But we are also not talking about our personal opinions, desires, or moral views. We talk about what the most powerful actors – those who can push their visions into the world – are currently doing and planning.


Are AI and robotics 

the

 dominant themes?

Philip Hopf:

If you ask the average person – or even most media outlets – about “future technologies”, two words come up immediately: AI and robotics. These two themes seem to overshadow everything else.

If we look at data centres, capital flows, and the US stock market: a handful of AI-driven companies – the “Magnificent 7” – are still pulling the indices up, while many other stocks are already deep in the red.

Would you agree that AI and robotics are the two dominant themes for the next 10–15 years?


Sven Gábor Jánszky:

I’d say: AI and robotics will be the dominant themes in the next 2–3 years, maybe five. You’re right: they currently overshadow many other important developments – which also have huge dynamics, but are getting less attention because everyone is in an AI hype.

That hype is understandable: AI is a big technology shift. Investors and companies can make a lot of money if they position themselves well.

Let me first talk about AI – and then about other key technologies.

What shapes the world of investors and growth-oriented companies right now is that AI is getting “hands” – meaning robotics.

  • AI is getting wheels: self-driving cars that already drive in normal city traffic in around 30 cities worldwide. The first European project is starting in Luxembourg.
  • AI is getting wings or rotors: drones, notably in military contexts.

We scientists have been talking about AI since the 1950s. The first computers appeared in the 1940s. Since the 1950s, “artificial intelligence” has been a research field. None of this is truly new.

The key phenomenon is the speed of progress.

From about 1950 to 2012, we had Moore’s Law:

Every 24 months, computing power doubles at the same price.

That’s why mobile contracts often last two years – after that, your old phone is roughly half as powerful as the current one.

What many people missed: since around 2012, this has changed.

Computing performance now doubles roughly every 3.4 months, not every 24.

The reason is the rise of self-learning AI. Before 2012, everything had to be explicitly programmed. In 2012, at a conference in Toronto, so-called AlexNet models were presented – the first truly self-learning deep-learning systems. Since then, progress has accelerated dramatically.

In our forecasts we assume that around 2028, when quantum computers become truly usable for companies (today’s machines are still more like prototypes), the next step begins:

The doubling of computing power moves from every 3.4 months to about every 1.5 months – roughly every 6 weeks.

That is insane – and it drives everything:

  • The AI we just discussed
  • AI with wheels (self-driving cars)
  • AI with hands (humanoid robots)

Humanoid robots are scheduled to hit the market around 2025/26:

  • The first US models are announced at around $30,000 per unit.
  • Others target $15,000–$20,000 as “household robots”.
  • Chinese companies talk about $10,000, later even $5,000 or $2,000.

That means: this will become a mass market.

My prognosis – without nailing down an exact year – is that in 3–5 years there will be more humanoid robots than humans on this planet. And more AI agents than humans as well.

Most communication and transactions on this planet will then be between AI agents and robots, not between humans and humans, or humans and AIs.

That is why so much capital is currently being allocated into AI: because an entirely new economic space is being created – one that, in many areas, barely involves humans anymore but is dominated by autonomous AI agents.

And wherever a new, enormous economic space emerges, those who move early and decisively can earn very large sums of money.


“The first immortal human is already alive”

Philip Hopf:

Adaptation – just like in nature. Whoever adapts survives. And this adaptation is now happening at something like light-speed, in quantum leaps. That’s why so much capital is being poured into this space.

Now, looking at the next step: once quantum computing and AI mature, human intelligence as a driver will be pushed more and more into the background.

You’ve also said: “The first immortal human is already alive.” I assume you mean life expectancy will increase massively. Could you explain that?

In combination with robots taking over human jobs and people becoming much older, aren’t we heading towards what in finance we might call a “death cross” – a very dangerous, maybe even catastrophic, development for humanity?


Sven Gábor Jánszky:

Let me unpack this step by step.

When we talk about human life expectancy, we are talking about health, medicine, and biotechnology. This is only partially about robotics. It is mainly about genetics – the fact that we can now read and increasingly modify our genome.

There are five key medical technologies here:

  1. Genetic analysis

Sequencing an individual genome now costs around $100 – essentially nothing.

  1. Medical food

Nutrition that is tailored to an individual’s microbiome and metabolic gaps. Food as personalised medicine. We estimate a time-to-mass-market of around 5 years.

  1. Epigenetic therapies

Treatments that can reverse aspects of the ageing process in humans. Time-to-mass-market: around 10–15 years.

  1. Replacement organs

Organs printed on 3D printers from your own cells. They are not rejected, and when an organ fails – which is a major cause of death today – it can be replaced. Time-to-mass-market: roughly 15 years.

  1. Gene therapies

Direct modification of your genome. Time-to-mass-market: about 25–30 years.

When I say “mass market”, I mean the point at which health insurers pay – when, say, a big public insurer like the German AOK reimburses it. That is when it truly enters society.

Now, if the first four of these technologies become widely available in the next 10–15 years, average human life expectancy will climb toward 100 years.

In plain language:

If someone listening today manages to stay alive for the next 10–15 years, they have a very high probability of reaching 100.

If they manage 25–30 years more, the probability is very high that they will reach 120–150.

Now you’re right: That is not yet “immortal”. So why do I say “the first immortal human is already alive”?

Let’s look at my own children. I have three, currently aged 8, 10, and 13. Take the middle one, Bennet, who is 10.

If he manages, at some point in his life – say when he is 50, like I am now – to make use of all five technologies, he will likely live to somewhere between 120 and 150.

He is 10 now, so we have at least 110 years until his body dies.

The question then is:

Will humanity, within the next 110 years, manage to build a technology that does not yet exist today – but into which billions of dollars are already being invested?

A technology that:

  1. First builds a full digital copy of a human brain in a computer.
  2. Then copies what is in a specific human brain into that digital model.

If that succeeds, then the body of my son will one day die – but not necessarily his mind.

That is why I say: with high probability, the first “immortal” generation is already alive – namely our children, the kids currently growing up.

Their bodies may die, but their conscious self – their sense of “I” – may continue in another substrate.


Digital afterlives and “grandparents on the phone”

Philip Hopf:

If I summarise: If the technology works, the body will age and be replaced or die, but the data patterns in the brain – the memories, personality traits, what makes me “me” – could be transferred to a new “brain”. And that person would live on in another form?


Sven Gábor Jánszky:

We don’t yet know whether we can transfer that into a new biological brain. That’s completely open. But transferring into a digital substrate – that’s very likely.

In 2019 I wrote a book about the year 2030, so about 10 years into the future. In the opening chapter, a grandfather dies of natural causes. His body is gone.

But then his granddaughter gets a present from her father: she may continue to talk to her grandfather on the phone.

What happened? Before his death, the grandfather trained a personal AI. That is already possible today:

  • I am currently training an AI that speaks with my voice.
  • It doesn’t fully look like me yet, but that will come.
  • It has my sense of humour, my sense of what is appropriate to say or not.
  • It has my knowledge level and even my typical mistakes and nonsense.

So speaking with this AI is like calling your grandfather.

The reason I placed this scenario in 2030 is:

The first such systems will likely be available around 2030.

Already today, in 2025, you can train such models. Companies exist for this. It’s not mass market yet, but we have five years.

However, at this stage, that AI is not me. It does not feel like me, it has no consciousness. It only has my stories and patterns.

That’s why it will take a few more decades before we can transfer what we call consciousness or perhaps even soul into a computer.

So I am not saying that I will live on digitally. A digital clone of me may live on after my death.

But for my children’s generation, the probability is relatively high that it will be their actual self that continues.


Transhumanism: future or dead end?

Philip Hopf:

Let’s move to another loaded topic that was hot even before AI and robotics took over the headlines: transhumanism.

There are all kinds of conspiracy stories floating around – chips in people’s bodies, total control, all that. Often from people who don’t necessarily understand the technologies.

Let me ask you directly:

Will transhumanism be the future of our species – or a temporary aberration?


Sven Gábor Jánszky:

Let’s consider two time horizons:

  1. The one directly ahead of us
  2. The longer-term future

In the nearer term, we will with high probability live in a world where we are surrounded by AI plus robotics:

  • AI with hands, wheels, wings
  • AI systems that take over many of our current tasks

An anecdote: I recently met one of the candidates for governor of California. There are five of them, all Democrat – California usually elects Democrats. One of these five is a transhumanist: Zoltan Istvan. I’ve known him for a while.

I asked him: “If you actually win – what’s your first political goal?”

He said:

“My first goal will be to classify biological ageing as a disease.”

At first I thought: ageing is just biology, isn’t it?

He said:

“Two hundred years ago, 90% of people died from infectious diseases.

What that generation did – for us – was: they eradicated most of those diseases so that their children could live longer.

Today, 90% of people die from biological ageing – from wear-and-tear processes in the body.

If I classify ageing as a disease, the entire healthcare system and pharma industry will have to work on it – and not just for the top 10,000 but for the mass market.”

If you then ask him: “How do you imagine society?” he says:

“People will no longer need to work 8 hours a day.

AI and robots will do most of the work.

Humans can finally focus on what they’re actually here for – themselves and each other.”

That is the positive transhumanist vision for the next 20–30 years.

Beyond that, another question arises:

Will humans at some point be degraded from the most intelligent species to the second-most intelligent?

Most likely, yes. AI systems will be more strategic, faster, more capable.

Some argue that this inevitably leads to conflict – that super-intelligent AIs will conclude that humans are useless and that we will disappear. That’s the apocalyptic scenario.

My view – and the view of many futurists – is different:

Historically, humans have always tried to optimise their bodies and minds:

medicine, education, fitness, all of it is body and mind optimisation.

In that logic, it is almost inevitable that we will want to connect our brains to external intelligence – to AI systems outside our skulls.

I was in China for a week about six weeks ago. There I met a leading brain researcher, a member of the Chinese Academy of Sciences. He showed me their current project:

  • They can place a 5 cm patch with 200 connectors on the cerebral cortex (yes, that involves drilling a hole in the skull).
  • The patch is connected to a cable and a battery.
  • Animal tests are done; they’re now in clinical trials with humans.

He told me:

“I’m currently looking for a clinic in Europe to do the same.

Then we’ll have someone in China and someone in Europe with this implant.

They will hold the first intercontinental telepathy session – brain-to-brain, with a computer in between.”

To be clear: I am not saying that we will all become cyborgs in five years.

But technologically, this will become possible. And there will always be some people who say:

“That gives me an advantage – I’ll do it.”

I’ve told this story several times. Already five people have contacted me saying, “I’d volunteer.”

There are always early adopters – the “crazy ones” in quotes. If they gain an advantage, others will follow. And so on.

So, in the 30–50 year horizon, we will likely be dealing seriously with what we call BCI – Brain-Computer Interfaces: direct links between brain and computer. There will be markets for this. How big they will be is impossible to say today, but the probability that they exist is high.


Thought surveillance and Orwellian fears

Philip Hopf:

Let’s bring in another dimension: politics and control.

We know that intelligence services and states often try to push deeper into private life: reading letters, listening to phone calls, scanning e-mails and messenger services.

The last refuge we have is: “As long as no one can read my thoughts, I can at least think what I want.”

If that barrier falls – if computer systems can read our thoughts – then George Orwell’s vision in 1984 looks eerily prophetic.

Isn’t it deeply worrying if, at some point, our thoughts – which many of us consider the last private space – can also be accessed, analysed, maybe even manipulated?


Sven Gábor Jánszky:

I fully understand that concern. If I had to assume that there would be global, universal thought surveillance, I would have very serious reservations.

However, I consider it unlikely that this will happen in a uniform, worldwide manner.

What is likely is:

  • In some regions of the world, such technologies will be used intensively.
  • In other regions, much less or not at all.

And here’s the paradox: there will always be people who want this – because they get advantages in exchange. Maybe cheaper services, more convenience, more power.

So yes, there will always be people who willingly trade privacy for benefits – and people who refuse.

That’s normal in human history.

If there are still regions in the world where you can live without such implants or surveillance, then – from my personal perspective – that becomes an individual decision:

Do I move to a place with these systems, or to a place without?

It becomes problematic when people are forced into such systems, with no way to opt out or move away. And there we have to be realistic: there are many people who simply cannot move freely, for economic or political reasons. That has always been so.

As a futurist, my job is not to describe the world I personally want. I’m not paid to present a wishful utopia.

My job is to describe the most probable future:

“What is, from today’s perspective, the most likely development?”

And then make that available to people, companies, and investors so they can make their decisions – depending on how free they are.

So I have to talk about these developments without saying, “This is what I want.” If something is the most likely path, we have to face it – value-free, analytically.


Where does the futurist invest his own money?

Philip Hopf:

A practical question from our side. At HKCM, one of our most requested analysis products is our AI package – 20 stocks heavily involved in AI, from Palantir to Alibaba and others.

How do you invest as a futurist? Which technologies have the greatest growth potential in your view?


Sven Gábor Jánszky:

Happy to answer. My approach differs from classic stock investing.

I personally stay away from the stock market. As soon as a technology reaches the stage where it’s listed, my expertise is no better than that of many others.

We manage three investment funds at my institute. We invest in technologies that, according to our research, will become foundational technologies for at least one – usually several – industries within the next 5–10 years.

Example: Quantum computing.

In 2016 we did our first major quantum computing study. We spoke with the big players – IBM, Google, etc. We also discovered a team at the University of Sussex.

They said:

“We can build quantum computers too – but differently.

Others need near-absolute zero temperatures (around 0.014 Kelvin).

We can operate at room temperature.”

I’m not a quantum physicist, but if one team can do it at room temperature while others need -273°C, the room-temperature approach seems to have a massive practical advantage.

So I stayed in touch. Three years later, in 2019, they spun out of the university into a startup. They weren’t yet deeply connected to the investor world – but we knew each other. That allowed our funds to become early investors.

Five years later, their valuation has gone up more than a hundredfold. Many quantum computing firms have entered the billions and may go higher.

The logic is:

If you manage to spot the technologies that will become the base layer of future industries and you get in very early, you have a chance – no guarantee, but a chance – to 10x your investment twice within the first 5 years.

We do this not only for quantum computing but also for:

  • Fusion energy – we invested four years ago in a startup led by a German professor who had to move to Australia because he couldn’t get funding in Germany.
  • Genetics – both for improving plants and for making humans more long-lived, i.e., reversing biological age.
  • Medical technologies – like cryopreservation: freezing organs and tissue and thawing them later in working condition. We expect a market for replacement organs within 5–10 years – think cryo-storage chambers under major hospitals.
  • Food production – not new supermarket brands, but technologies that allow us to produce around 60% of global food demand synthetically (e.g., cultured meat from bioreactors). With a world population heading towards 9–11 billion, natural production will not suffice. This is a huge future market.

These companies are generally 5 years before IPO. That’s our sweet spot.


Overpopulation vs. demographic collapse

Philip Hopf:

I’d like to challenge one point: You mentioned 10–11 billion people on Earth. Elon Musk, for example, says the opposite: our societies will collapse because falling birth rates will shrink populations dramatically.

We need about 2.2 children per woman to maintain the population. Many Western countries are at 1.4, 1.3, 1.2. If that continues over two generations, you end up with a fraction of today’s numbers.

Only a few regions – sub-Saharan Africa and Israel, for example – are well above that. Elsewhere, fertility is collapsing.

So how do you arrive at 10–11 billion? Doesn’t that require a population explosion?


Sven Gábor Jánszky:

Those 11 billion are not from futurists – they are UN-type demographic projections. I tend to agree with Musk here: populations will eventually plateau and then decline.

What is not yet fully included in many projections is the extension of life expectancy that we discussed earlier.

If we move average life expectancy from ~80 to ~120 within one generation, that’s a 50% extension.

I’m not a population statistician – there I rely on others’ models.

But whether we end up at 10, 11, or “only” 9 billion is secondary for my work.

For me, the key takeaway is:

Humanity needs technologies that can produce food, water, and energy synthetically – at large scale.

That’s where bioreactors and related tech come in. Whether the gap is between 3.5 and 8, 9, or 10 billion people doesn’t change the basic logic.


Are you personally optimistic or pessimistic?

Philip Hopf:

Final question – ending on a personal note:

How do you look into the future – more optimistically or pessimistically?

And is there any future trend that personally scares you?


Sven Gábor Jánszky:

Among scientific futurists, you will find that most of us are broadly optimistic. That may be personality – but I think it’s mainly methodological.

From a data-driven perspective, the probability that the world develops in a positive direction – in the sense that people:

  • live longer
  • live healthier
  • have more money
  • can realise themselves more
  • maybe no longer need to work 8 hours a day

…is actually quite high.

Personally, I am very optimistic. I believe that the possibilities of the future are much greater than our experiences from the past.

And that’s where I differ from many others – scientists, politicians, business leaders.

If you base your decisions about the future only on past experience, I would be very cautious.

Because the truly fundamental, disruptive changes have almost always come from new possibilities – very often technological ones.

In my view, “the present” lasts about 10 seconds.

  • Everything before that is past.
  • Everything after that is future.

If you adopt this worldview, there’s only one truly relevant question:

“Do the decisions I’m making now rest primarily on my past experiences

or on my best available forecasts of the future?”

I choose the second. For personal development and for financial decisions, I think the past has relatively little to say. The decisive factor is what is coming next.


Philip Hopf:

Thank you very much, Mr. Jánszky.

I do many interviews, but this one was, for me personally, absolutely fascinating.


Synthesis

This conversation paints a future in which:

  • AI and robotics become ubiquitous and numerically outnumber humans.
  • Quantum computing, genetics, and medical innovation extend life expectancy dramatically – perhaps to 120–150 years.
  • Transhumanism moves from fringe idea to concrete politics and business models (ageing as a disease, body-tech integration, BCIs).
  • Entirely new economic spaces arise between AI agents and robots, while humans shift toward self-development and relational life – if we steer things wisely.

Jánszky is analytically optimistic: he doesn’t predict paradise, but he sees the data pointing more toward expanded possibilities than towards collapse – provided we understand who actually shapes the future and how.

For a critical reading of this interview 👇

https://rftjon.substack.com/p/janszkys-future-picture-a-critical?r=35vtu2

Ein kommentierter Blick auf Jánszky’s Zukunftsbild | DE

Wer gestaltet unsere Zukunft? Wer profitiert von Ihr?

Dieses Dokument basiert auf einem ausführlichen Interview zwischen Philip Hopf (HKCM) und dem Zukunftsforscher Sven Gábor Jánszky. Im Folgenden werden zentrale Thesen des Gesprächs zusammengefaßt und kommentiert – mit besonderem Blick auf Fragen von Macht, Verantwortung, technologischer Dynamik und menschlicher Würde.

1. Methode der Zukunftsforschung: „Follow the Strategists“

Jánszky beschreibt Zukunftsforschung ausdrücklich nicht als Science-Fiction oder Visionen-Basteln, sondern als analytische Disziplin. Sein Kernansatz lautet vereinfacht:

• Wer die nächsten 5–10 Jahre verstehen will, muß die Strategen der großen, ressourcenstarken Unternehmen beobachten –
  insbesondere Strategie‑, Technologie‑ und Innovationschefs.
• Zukunft entsteht dort, wo Kapital, Technologie und Marktmacht gebündelt sind.
• Diese Akteure entscheiden, welche technologischen Möglichkeiten tatsächlich in Märkte und damit in die Gesellschaft gedrückt werden.

Stärke dieses Ansatzes: Er ist ehrlich über den Fokus auf reale Macht. Für Investoren, Unternehmen und Aufsichtsgremien liefert er ein robustes Instrument, um technologische Trends und Marktverschiebungen abzuschätzen.

Gleichzeitig hat diese Sichtweise einen blinden Fleck: Sie nimmt die Perspektive der Mächtigen als Ausgangspunkt und erklärt die Zukunft vor allem als Fortschreibung bestehender Machtverhältnisse. Demokratische Gegenbewegungen, Regulierer, kulturelle Brüche, Krisen und ökologische Grenzen erscheinen primär als Reibungsverluste – nicht als eigenständige Gestaltungsfaktoren. Was sie aber sind.

2. KI mit Händen, Rädern und Flügeln: Roboter und KI-Agenten

Ein zentrales Motiv des Interviews ist die Vorstellung, daß Künstliche Intelligenz „Hände“, „Räder“ und „Flügel“ bekommt:

• KI mit Händen: humanoide Roboter in Haushalt, Pflege, Logistik und Industrie.
• KI mit Rädern: autonome Fahrzeuge im städtischen Verkehr.
• KI mit Flügeln/Rotoren: Drohnen, insbesondere im militärischen und logistischen Bereich.

Jánszky prognostiziert eine Welt, in der es mehr humanoide Roboter und vor allem mehr KI‑Agents als Menschen gibt. Ein großer Teil der Kommunikation und Transaktion fände dann nicht mehr zwischen Menschen, sondern zwischen autonomen Systemen statt.

Als Richtung ist das plausibel: Automatisierung, autonome Systeme und Agenten-Ökosysteme nehmen bereits deutlich Fahrt auf. Die konkrete Zeitskala („3–5 Jahre bis mehr Roboter als Menschen“) ist dagegen eher ein starkes Szenario ‑eine These- als eine belastbare Prognose. Sie setzt stabile Lieferketten, massive Nachfrage, politische Akzeptanz und geringe regulatorische Reibung voraus.

Philosophisch stellt sich damit eine Frage, die für Gesellschaften und ihre Institutionen zentral ist:
Wenn der größte Teil wirtschaftlicher Prozesse zwischen Maschinen läuft – wo verbleibt dann der Raum für menschliche Bedeutung, Verantwortung, Schönheit, Kontemplation und persönliche Würde?

3. Länger leben – oder „unsterblich“ werden?

Sehr pointiert äußert sich Jánszky zum Thema Lebensverlängerung. Er skizziert fünf technologische Linien:

1. Genanalyse zum Niedrigpreis (heute schon Realität).
2. „Medical Food“: personalisierte Ernährung, die individuelle Defizite im Mikrobiom ausgleicht.
3. Epigenetische Therapien, die biologische Alterungsprozesse zurückdrehen sollen.
4. Ersatzteilorgane aus 3D‑Druck mit eigenen Zellen.
5. Gentherapien mit Zeithorizont von 25–30 Jahren bis zum Massenmarkt.

Seine Quintessenz: Wer die nächsten 10–15 Jahre überlebt, habe eine hohe Wahrscheinlichkeit, rund 100 Jahre alt zu werden. Wer 25–30 Jahre überlebt, könnte 120–150 erreichen. Daraus leitet er die zugespitzte Aussage ab, der „erste unsterbliche Mensch“ lebe bereits – gemeint sind heutige Kinder, deren Bewußtsein theoretisch irgendwann in digitale Systeme transferiert werden könnte.

Hier überlagern sich Technologie‑Roadmap und Metaphysik:
• Als technologische Option ist ein stark personalisierter, lebensverlängernder Medizinmix denkbar.
• Ob ein digitaler Klon unseres Wissens, Stils und Humors tatsächlich „wir selbst“ ist, bleibt eine offene philosophische Frage.

Bereits heute ist absehbar: Wir können Systeme trainieren, die wie eine Person klingen, ähnlich denken und vertraute Muster reproduzieren. Ob dies Identität oder nur ein hilfreiches Abbild ist, wird eine der großen Debatten der kommenden Jahrzehnte sein.

4. Transhumanismus, Brain-Computer-Interfaces und der letzte Innenraum

Beim Stichwort Transhumanismus beschreibt Jánszky eine Welt, in der Menschen ihren Körper weiter optimieren und sich langfristig mit externen KI‑Systemen verbinden – etwa durch Brain‑Computer‑Interfaces (BCI), also Schnittstellen direkt am oder im Gehirn.

Er berichtet von laufenden klinischen Tests mit Implantaten, die Gehirnaktivität auslesen und zur Kommunikation nutzen können. Langfristig sieht er Märkte für solche Interfaces – erst für wenige Pioniere, später möglicherweise in breiteren Segmenten.

Auf die Sorge, Gedankenlesen könne das letzte Refugium privater Innerlichkeit zerstören, antwortet er nüchtern: Ein Teil der Menschen werde solche Systeme freiwillig nutzen, um Vorteile zu erhalten; problematisch sei vor allem erzwungene Teilnahme.

Genau hier beginnt für viele die eigentliche ethische Frage:

• Wie viel „Innenraum“ braucht der Mensch, damit Gewissen, Würde und Freiheit nicht erodieren?
• Was passiert mit Kreativität, Dissens und Intimität, wenn selbst Gedanken potentiell lesbar und verwertbar werden?

Für den Diskurs – von Grundrechten bis Datenschutz – ist dies kein Science‑Fiction‑Thema, sondern eine kommende Verfassungsfrage.

5. Investieren in Zukunft: Quanten, Fusion, Genetik, Nahrungsmittel

Jánszky beschreibt, wie sein Institut über eigene Fonds investiert: nicht in reife Börsentitel, sondern etwa fünf Jahre vor dem Börsengang in Technologien, die aus seiner Sicht zu Grundlagentechnologien ganzer Branchen werden können.


Genannt werden insbesondere:


• Quantencomputer
• Kernfusion
• Genetik und Langlebigkeit‑Tech
• Kryokonservierung von Gewebe und Organen
• Synthetische Nahrungsmittel und Bioreaktoren

Für Aufsichtsräte, Vorstände und strategische Entscheider ist diese Perspektive doppelt interessant:

• Sie liefert ein klares „Innovation‑Radar“: Wo entstehen die Plattformtechnologien von morgen?
• Sie ersetzt jedoch keinen gesellschaftlichen oder regulatorischen Kompass: Fragen von Verteilung, Risiken, Klima, Arbeit und   sozialen Folgen bleiben methodisch ausgeklammert.

6. Optimismus, Gegenwart und die Rolle der Vergangenheit

Am Ende positioniert sich Jánszky klar als Optimist. Er argumentiert, die Möglichkeiten der Zukunft seien stärker als die Erfahrungen der Vergangenheit, und warnt davor, heutige Entscheidungen nur aus bisheriger Erfahrung abzuleiten. Die Gegenwart sei extrem kurz; entscheidend seien die Prognosen.

Diese Haltung ist für Investments und technologische Entwicklung nachvollziehbar: Wer nur zurückblickt, verpaßt strukturelle Brüche. Gleichzeitig birgt sie ein Risiko: Gesellschaften leben nicht nur von künftigen Optionen, sondern von Erinnerung, Kontinuität und dem Umgang mit Verletzlichkeit und Endlichkeit.

Gerade in West_Europa – mit ihren historischen Brüchen, starken Rechtsstaaten und ausgeprägten Sozialstaaten – wird es entscheidend sein, diese beiden Perspektiven zu verbinden:

• den nüchternen Blick auf das, was technisch und ökonomisch wahrscheinlich ist,
• und den beharrlichen Einsatz für Werte, Menschenwürde, demokratische Kontrolle und solidarische Strukturen.

7. Fragen an die Öffentlichkeit

Aus dem Interview lassen sich drei Leitfragen ableiten, die für Unternehmen, Politik und Zivilgesellschaft im deutschsprachigen Raum zentral sind:

1. Gestaltungsmacht:
Wenn strategische Entscheider großer Tech‑ und Kapitalstrukturen die nächsten 10 Jahre maßgeblich prägen –
wo liegt dann der verbleibende Handlungsspielraum für Parlamente, Regulierer, Stiftungen, Aufsichtsräte und Bürgerinnen und Bürger?

2. Lebensverlängerung vs. Lebensweite:
Wenn es realistisch wird, deutlich länger und gesünder zu leben –
wie bewerten wir als Gesellschaft die Frage, was ein „gutes Leben“ ausmacht: mehr Jahre oder mehr Tiefe, Beziehung und Sinn in den vorhandenen Jahren?

3. Digitale Abbilder von Personen:
Wie weit wollen wir gehen bei der Erzeugung digitaler Abbilder von Menschen – Stimmen, Avatare, „digitale Zwillinge“?
Ab wann wird ein hilfreiches Werkzeug zu einer Maske, die Identität nur simuliert? Welche Schutzräume brauchen Trauer, Intimität und seelische Entwicklung?


Diese Fragen lassen sich nicht allein von Zukunftsforschern, Investoren oder Ingenieuren beantworten. Sie gehören in Parlamente, in Aufsichtsräte, in Redaktionen, in Schulen – und auch an die Küchentische.
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© 2025 Robert F. Tjón — Creative Commons CC BY-NC-ND 4.0 International

rftjon.substack.com | roberttjon.wordpress.com

Interview mit Jánszky:

🌐Websites:

https://janszky.de/

https://hkcmanagement.de

Am Schwellenrand | DE

Eine Betrachtung über Schönheit, Tod und das Muster hinter dem Schleier

Es gibt Momente im Leben, in denen der Schleier des Gewöhnlichen dünn wird – das Weltgetöse verstummt, und etwas Zartes, Leuchtendes kommt zum Vorschein.

Manche erkennen es in der Symmetrie einer Muschel, der Spirale einer Galaxie oder im Erblühen einer Sonnenblume – Ausdruck des Goldenen Schnitts, jenes alten Flüsterns von Form in der Formlosigkeit.

Andere begegnen ihm am Rand des Lebens, wenn der Körper versagt und der Geist, unerwartet klar, sich erhebt – nicht verschwindet, sondern bezeugt.

Beides sind Schwellen.

Der Goldene Schnitt – Φ – ist mehr als nur eine Zahl: Er ist ein Hinweis. Er deutet an, dass sich unter der Vielfalt des Lebens ein verborgener Rhythmus verbirgt, eine Eleganz, die der Logik entgleitet und doch die Intuition anspricht. Er erscheint in der Architektur des Kosmos, in den Falten der Natur, sogar in den harmonischsten Werken menschlicher Kunst. Es ist Schönheit durch Verhältnis, Mathematik im Gewand des Mysteriums.

Nahtoderfahrungen zeugen ebenfalls von einer tieferliegenden Kohärenz – einer Geometrie des Bewusstseins, die sich nicht im Raum, sondern in Bedeutung entfaltet. Diejenigen, die zurückkehren, berichten nicht von Chaos, sondern von Klarheit jenseits des Denkens, von einem Reich voller Licht, Präsenz und Liebe. Diese sind keine Fantasien, sondern Muster der Wahrnehmung – regelmäßig und zugleich unaussprechlich. Wie Φ verweisen sie über sich hinaus.

Der Buddhismus mit seiner stillen Tiefe sagt uns: Hafte nicht einmal am Licht. Das Selbst, das wir zu sein glauben, ist ein Zusammenspiel von Bedingungen, kein bleibender Reisender. Und doch leugnet er die Schönheit nicht – er verfeinert den Blick, lehrt uns, Wahrheit nicht im Bleibenden, sondern im vollkommen Vergänglichen zu sehen. Nirvana ist kein Ort, sondern das Erlöschen von Täuschung – die letzte Ausrichtung.

Vielleicht also sind der Goldene Schnitt, die Nahtoderfahrung und die buddhistische Einsicht in anattā keine Widersprüche.

Vielleicht sind sie Brechungen derselben Wahrheit: dass unter der Oberfläche der Erfahrung – sei es in der Natur, im Tod, in der Kunst oder in der Versenkung – eine leuchtende Ordnung wirkt, eine stille Intelligenz, die das Ganze trägt.

Gut zu leben heißt dann nicht, dieses Mysterium zu lösen, sondern seinem Rhythmus un Melodie zu lauschen, in Harmonie.

Jedem Moment zu begegnen mit der Ehrfurcht dessen, der weiß, dass es ein Muster hinter dem Schleier gibt.

Zu sterben – wenn es so weit ist – nicht als Fall in Dunkelheit, sondern als Auflösung ins Verhältnis.

In die formlose Form,

in die atemlose Spirale,

in die unsagbare Eleganz, die immer schon da war.

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© 2025 Robert F. Tjón — Creative Commons CC BY-NC-ND 4.0 International

rftjon.substack.com | roberttjon.wordpress.com